University of Calgary

MATH 325 - Introduction to Optimization - Fall 2021

An example driven overview of optimization problems: quadratic forms, minimum energy and distance, least squares, generalized inverses, location and classification of critical points, variational treatment of eigenvalues, Lagrange multipliers and linear programming.
This course may not be repeated for credit.

Hours

  • H(3-1T)

Prerequisite(s)

  • Mathematics 311 or 313; and 3 units from Mathematics 367, 377 or 331. Also known as: (formerly Applied Mathematics 425)

Sections

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